Titlebook: Computational Intelligence. Theory and Applications; International Confer Bernd Reusch Conference proceedings 1997 Springer-Verlag Berlin H

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Working-Memory

slipped-disk

Adaptive non-uniform mutation for genetic algorithms,dified variant of genetic algorithms . to tackle numerical parameter optimization problems. As is shown by mathematical analysis, this mutation operator prefers parameter values in the center of the corresponding feasible region. This leads to problems if the optimum is situated near the feasible re

枯萎将要

HALO

Identification of systems using radial basis networks feedbacked with FIR filters, is possible to construct a recurrent neural network, where the coefficients of each filter and the synaptic connections are adjusted to minimize an error function. The simulations carried out show the validity of this method for identifying systems with memory.

容易懂得

A novel neurocomputing approach to nonlinear stochastic state estimation,hose capability of solving certain optimization problems is well-known and feedforward multilayer neural net which is very popular because of its universal approximation property. This neuro-estimator is very appropriate for the real-time implementation of linear or/and especially nonlinear state es

容易懂得

尊敬

Genetic algorithms with optimal structure applied to Evolvable HardWare (EHW),ults. Such kind of circuit is a FPGA (Field Programmable Gate Array) or a PLD (Programmable Logic Device) whose program is being evolved by a GA (Genetic Algorithm).Actually there are two types of EHWs: with . and with .. The on-line evolution type can be used to evolve hardware circuits that act as

人类学家

Position control system with fuzzy microprocessor AL220,cessor use fuzzy logic rules and approximate reasoning. Hole system can be consider as intelligent infrared sensor, or system which track the infrared source and turn the header in the source direction. If it is necessary, intensity of infrared lights can be measured. In the paper design method of t

思考

Fuzzy-neural computing systems: Recent developments and future directions,f theoretical and applied interest: fuzzy neural systems. Researchers have provided a theoretical basis in the field while industry has used this theoretical basis to create a new class of machines using the innovative technology of fuzzy neural networks. The theory of fuzzy logic provides a mathema